
AbstractReproduction numbers estimated from disease incidence data can give public health authorities valuable information about the progression and likely size of a disease outbreak. Here, we show that methods for estimating effective reproduction numbers commonly give overestimates early in an outbreak. This is due to many factors including the nature of outbreaks that are used for estimation, incorrectly accounting for imported cases and outbreaks arising in subpopulations with higher transmission rates. Awareness of this bias is necessary to correctly interpret estimates from early disease outbreak data. Copyright © 2011 John Wiley & Sons, Ltd.
population size, Reproduction number, probability, epidemiological data, Basic Reproduction Number, Basic Reproduct Bias, 310, epidemic, systematic error, Disease Outbreaks, effective reproduction number, Influenza A Virus, H1N1 Subtype, Influenza, Human, Humans, awareness, controlled study, Computer Simulation, calculation, disease transmission, Incidence, article, Importation, Influenza, health survey, Data Interpretation, Statistical, Epidemiologic Methods, mathematical model, Keywords: 2009 H1N1 influenza
population size, Reproduction number, probability, epidemiological data, Basic Reproduction Number, Basic Reproduct Bias, 310, epidemic, systematic error, Disease Outbreaks, effective reproduction number, Influenza A Virus, H1N1 Subtype, Influenza, Human, Humans, awareness, controlled study, Computer Simulation, calculation, disease transmission, Incidence, article, Importation, Influenza, health survey, Data Interpretation, Statistical, Epidemiologic Methods, mathematical model, Keywords: 2009 H1N1 influenza
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 54 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
